Supervised Contrastive Vision Transformer for Breast Histopathological Image Classification

arXiv:2404.11052v1 Announce Type: new
Abstract: Invasive ductal carcinoma (IDC) is the most prevalent form of breast cancer. Breast tissue histopathological examination is critical in diagnosing and classifying breast cancer. Although existing methods have shown promising results, there is still room for improvement in the classification accuracy and generalization of IDC using histopathology images. We present a novel approach, Supervised Contrastive Vision Transformer (SupCon-ViT), for improving the classification of invasive ductal carcinoma in terms of accuracy and generalization by leveraging the …

abstract accuracy arxiv cancer classification cs.cv cs.lg form idc image improvement results room transformer type vision